Abstract

The thermal energy storage (TES) technology is an effective method to enhance the planning and the economy of the combined heat and power (CHP) plants, while it has still not been broadly promoted in China. In this paper we firstly establish a mathematical model for a Chinese CHP plant with TES. Then the EnergyPRO software is used to find the optimum type of the TES tank in a three-tariff electricity pricing market and the operation strategy of the CHP plant with the selected TES tank is studied. Thirdly, the economic benefits of the system with/without TES is evaluated. The results show that adding a TES tank with volume of 24000m3 can significantly increase operational profits of the CHP system and reduce the use of peak-shaving heat source.

Highlights

  • With the acceleration of urbanization in China, the total district heating (DH) demand in urban areas is increasing

  • EnergyPRO software to find the optimum type of the thermal energy storage (TES) tank and studying the operation strategy as well as the economic benefit of the system

  • Since the combined heat and power (CHP) plants undertakes the task of supplying heat for this area, we can know that the sale of heat doesn’t change in Case A and Case B (CHP+TES) because the heat demands remain unchanged through Eq(5)

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Summary

Instruction

With the acceleration of urbanization in China, the total district heating (DH) demand in urban areas is increasing. [3,4,5] introduce the operation strategy and optimization method in CHP pant, as well as the mathematical methods in finding the optimum type of TES capacity. The EnergyPRO software has the ability to model and optimise operations of a DH system, especially suitable for CHP plants with TES tanks [6,7]. In this paper we will establish a mathematical model for a CHP plant in China with a TES tank, using. EnergyPRO software to find the optimum type of the TES tank and studying the operation strategy as well as the economic benefit of the system. This study will help people realize the importance of optimizing the energy planning and the advantages of the TES technology assisting the CHP plant

Overview of the CHP plant
The equality constraints of the model
Analysis of the calculating results
The optimal operation strategy
Economic analysis
Findings
Conclusion
Full Text
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